HAX Design Library

Guideline 8

Support efficient dismissal

Make it easy to dismiss or ignore undesired AI system services.

Guideline 11

Make clear why the system did what it did

Enable the user to access an explanation of why the AI system behaved as it did.

Guideline 11 > Pattern 11A

Pattern 11A: Local explanations

Guideline 11 > Pattern 11B

Pattern 11B: Global explanations

Guideline 11 > Pattern 11C

Pattern 11C: Present properties of system outputs

Guideline 11 > Pattern 11C > Example

Encourage granular feedback

Enable the user to provide feedback indicating their preferences during regular interaction with the AI system.

Guideline 15 > Pattern 15A

Pattern 15A: Encourage explicit feedback on individual system outputs

Guideline 15 > Pattern 15B

Pattern 15B: Request explicit feedback on selected system outputs

Guideline 15 > Pattern 15B > Example

Google Maps | 15B: Request explicit feedback on selected system outputs

Guideline 15 > Pattern 15C

Pattern 15C: Reporting inappropriate content

Guideline 15 > Pattern 15D

Pattern 15D: Use existing public rating or interaction data as feedback for the system

Guideline 16

Convey the consequences of user actions

Immediately update or convey how user actions will impact future behaviors of the AI system.

Guideline 16 > Pattern 16A

Pattern 16A: Feedforward: Convey the consequences of user actions before the user takes action

Guideline 16 > Pattern 16B

Pattern 16B: Feedback: Convey the consequences of user actions after the user takes action

Guideline 16 > Pattern 16C

Pattern 16C: Remind of consequences of a past action and ask for reconfirmation

Guideline 16 > Pattern 16C > Example

Google Maps | 16C: Remind of consequences of a past action and ask for reconfirmation

Guideline 16 > Pattern 16D

Pattern 16D: Convey the consequences of user action in help and documentation

Guideline 17

Provide global controls

Allow the user to globally customize what the AI system monitors and how it behaves.

Guideline 18

Notify users about changes

Inform the user when the AI system adds or updates its capabilities.

Interactive collection of the 18 Guidelines for Human-AI Interaction, with design patterns for applying them and examples.